Kuan-Yu Fu

25 papers and 284 indexed citations i.

About

Kuan-Yu Fu is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Kuan-Yu Fu has authored 25 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 5 papers in Industrial and Manufacturing Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Kuan-Yu Fu’s work include Semiconductor materials and devices (13 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). Kuan-Yu Fu is often cited by papers focused on Semiconductor materials and devices (13 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). Kuan-Yu Fu collaborates with scholars based in United States and Taiwan. Kuan-Yu Fu's co-authors include Loren Jones, Julius Τ. Tou, Qingyun Shi, Ming‐Jer Chen and C.R. Liu and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fields of papers citing papers by Kuan-Yu Fu

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Kuan-Yu Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kuan-Yu Fu may publish in the future.

Countries citing papers authored by Kuan-Yu Fu

Since Specialization
Citations

This map shows the geographic impact of Kuan-Yu Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kuan-Yu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan-Yu Fu more than expected).

Rankless by CCL
2025